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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration for Pareto Analysis
Decision Making
Pareto Analysis
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle.
Complexitydifferent
LowLowHighLow
Timedifferent
1 h bis mehrere Wochen5-15 min1-6 Wochen30-60 min
Participantsdifferent
1-83-204-101-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeRanked list, Consensus signal, Shortlist8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanPareto Chart, Top Causes, Focus List
Tagsno overlap
Continuous improvementLeanExperiments
FacilitationVotingConsensusPrioritization
QualityProblem solvingRoot cause
PrioritizationQualityFocusRoot cause
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